}
      }
      return;
    }

    /*
     * This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when
     * another thread or the worker task has cleared the count and set the state.
     *

        }
      }
      return;
    }

    /*
     * This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when
     * another thread or the worker task has cleared the count and set the state.
     *

The way it works is that you write the definition of the schema using YAML format inside the docstring of each function handling a route.

And it generates OpenAPI schemas.

That's how it works in Flask, Starlette, Responder, etc.

But then, we have again the problem of having a micro-syntax, inside of a Python string (a big YAML).

## Installer le programme serveur

Vous pouvez installer un serveur compatible ASGI avec :

//// tab | Uvicorn

* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>, un serveur ASGI rapide comme l'éclair, basé sur uvloop et httptools.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

/// tip | "Astuce"

And as the write operation doesn't use `async` and `await`, we define the function with normal `def`:

{* ../../docs_src/background_tasks/tutorial001.py hl[6:9] *}

## Add the background task

Inside of your *path operation function*, pass your task function to the *background tasks* object with the method `.add_task()`:

{* ../../docs_src/background_tasks/tutorial001.py hl[14] *}

`.add_task()` receives as arguments:

Le tout de manière à offrir la meilleure expérience de développement à tous les développeurs.

## Exigences

Après avoir testé plusieurs alternatives, j'ai décidé que j'allais utiliser <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">**Pydantic**</a> pour ses avantages.

    return reader.lines().onClose(() -> closeUnchecked(reader));
  }

  @SuppressWarnings("Java7ApiChecker")
  @IgnoreJRERequirement // helper for lines()
  /*
   * If we make these calls inline inside the lambda inside lines(), we get an Animal Sniffer error,
   * despite the @IgnoreJRERequirement annotation there. For details, see ImmutableSortedMultiset.
   */
  private static void closeUnchecked(Closeable closeable) {
    try {

				CalculatedSHA256: "88d4266fd4e6338d13b845fcf289579d209c897823b9217da3e161936f031589",
			},
		},

		// Input with size more than the size of actual data inside the reader.
		8: {
			bucketName: bucket, objName: object, inputData: []byte("abcd"),
			inputMeta: map[string]string{"etag": "e2fc714c4727ee9395f324cd2e7f331e"}, inputDataSize: int64(len("abcd") + 1),

     * represents or the drive on which the directory or file resides. Objects
     * other than <tt>TYPE_SHARE</tt> or <tt>TYPE_FILESYSTEM</tt> will result
     * in 0L being returned.
     *
     * @return the free disk space in bytes of the drive on which this file or
     *         directory resides
     * @throws CIFSException
     */
    long getDiskFreeSpace () throws CIFSException;

// will block till the operation that produces `h` has completed.
TF_CAPI_EXPORT extern const char* TFE_TensorHandleDeviceName(
    TFE_TensorHandle* h, TF_Status* status);

// Returns the name of the device in whose memory `h` resides.
//
// This function will block till the operation that produces `h` has completed.
TF_CAPI_EXPORT extern const char* TFE_TensorHandleBackingDeviceName(
    TFE_TensorHandle* h, TF_Status* status);